491 results about "Anxiety" patented technology

Systems, devices and methods are provided for stimulating one or more nerves within a user. A system comprises stimulator having an electrode configured for contacting the outer skin surface at a target location and an energy source coupled to the stimulator, The energy source is configured to generate at least one electrical impulse and to transmit the electrical impulse transcutaneously from the electrode through the outer skin surface of the user to a selected nerve in the user. In certain aspects, the systems and methods are particularly useful for non-medical purposes, such as reducing stress and anxiety, enhancing relaxation, improving sleep, energy, concentration and mood, increasing mental or physical performance, promoting mental health, recovery and wellness, generally improving the health and wellbeing of a user and / or for temporarily or permanently improving intelligence, learning capacity, memory retention, recall, mood, alertness and / or sleep efficiency in human beings.

Aiming at the problems of insufficient language understanding depth, weak personalized dialogue generation ability, lack of continuous learning and long-term user state modeling and the like in the current emotion recognition and psychological intervention technology, the invention provides a user emotion recognition and psychological intervention method combined with a large language model (LLM). According to the method, the potential emotional state is identified by analyzing free text information input by a user by utilizing the powerful capabilities of a large language model in the aspects of natural language understanding, emotional modeling and text generation; constructing a multi-round dialogue context, and reasoning a psychological change trend of the user; in combination with a psychological knowledge base, personalized and mild psychological intervention dialogue content with a dredging effect is generated. The system supports recognition and classification of various emotional states such as depression, anxiety and alonity, is suitable for various interaction scenes (such as APPs, webpages and social robots), and can greatly improve the precision of emotion recognition and the timeliness and effectiveness of psychological intervention. The emotion recognition and psychological intervention method based on the large language model provides solid technical support for constructing an intelligent, continuous and personalized psychological health management system, and has wide application prospects and profound social significance.

The invention discloses a pet pacifying method, and relates to the technical field of emotion recognition, and the pet pacifying method comprises the following steps: obtaining pet behavior data, and inputting the pet behavior data into a pet emotion recognition model to recognize the current emotion type of a pet; according to the current emotion type of the pet, determining a pacifying strategy corresponding to the current emotion type; and pacifying the pet based on the pacifying strategy. According to the method, the emotion of the pet is recognized from multiple dimensions, the accuracy of pet emotion recognition is improved, whether the pet is in an anger, happy or calm state is judged, corresponding strategies are selected for pacifying according to different emotional states of the pet, and the anxiety, tension and other emotions of the pet can be relieved more effectively.

The invention discloses a multi-modal emotion calculation enabling adaptive interactive language learning system and a matching method thereof, and belongs to the technical field of artificial intelligence, and the system comprises a multi-modal emotion real-time perception and quantification module MHAE-Net, a personalized adaptive dialogue and intervention strategy module ADIS-RL, and a virtual dialogue partner interactive interface module EC-NLG. The multi-modal emotion real-time perception and quantification module MHAE-Net is composed of a voice signal acquisition and processing unit, a voice emotion analysis unit, a text emotion analysis unit, a facial expression emotion analysis unit, a physiological signal emotion analysis unit and a multi-modal emotion fusion and decision-making unit. The interactive strategy is dynamically adjusted, the oral anxiety of the language is effectively relieved, the oral confidence is improved, the system adopts the multi-mode emotion calculation technology, the accuracy and robustness of emotion recognition are improved, the targeted interactive strategy is designed for different emotion states, and personalized emotion support and language practice are provided for learners.

The disclosure provides a dosing regimen utilizing an oral extended release formulation for the treatment of treatment-resistant depression and treatment-resistant anxiety.

The invention provides a transcranial alternating current stimulation method and system with an automatic adjustment function, and relates to the technical field of transcranial alternating current stimulation, and the method comprises the steps: obtaining, compressing and sampling a multi-channel electroencephalogram signal, carrying out the multi-channel reconstruction through the physiological priori and the related information of adjacent brain regions, extracting the feature parameters of target brain waves, and carrying out the reconstruction of the target brain waves. Based on the parameters, dual-stage transcranial alternating current signals of prior stimulation and post stimulation are output; by introducing an adjacent matrix or a graph Laplacian operator in a compressed sensing acquisition and reconstruction link, high-fidelity recovery of cross-brain region oscillation can be maintained under the conditions of low sampling rate and noise; performing layered screening and dynamic fine tuning on characteristic frequency bands of different brain regions by combining general and individualized prior; the target brain wave phase is locked in advance in the first stimulation stage, and the stimulation intensity of each brain region is independently or cooperatively adjusted in the later stimulation stage, so that the requirement of coupling regulation and control of multiple brain regions is met, and the closed-loop intervention effect on nerve states such as insomnia and anxiety is improved.

The invention discloses application of Lactobacillus reuteri CCFM1289 with high yield of indoleacetic acid in relieving anxiety and depression, and belongs to the technical field of microorganisms. The Lactobacillus reuteri CCFM1289 can produce heteroauxin at high yield in vivo and in vitro, promote the yield of heteroauxin in fecal flora, relieve anxiety-like and depression-like behaviors of depression mice, relieve HPA hyperfunction, improve the level of brain-derived neurotrophic factor BDNF in hippocampus, promote secretion of 5-HTP and 5-HT in brain, improve the content of heteroauxin in colon, serum and brain, and improve the content of heteroauxin in colon, serum and brain. The compound can be used for improving intestinal flora metabolism imbalance, improving mRNA levels of hippocampal neurogenin-2, synapsin and post-synaptic dense protein 95, maintaining neuronal synaptic function stability, activating AHR signal channels, improving bicortin DCX expression and promoting neurogenesis so as to relieve depression mood, and can be used for drugs, health care products or healthy food for preventing and treating depression.

The invention discloses a refined health care management and control method and management and control platform for pregnancy preparation people, and relates to the technical field of health care, and the method comprises the steps: building a full-period pregnancy preparation health care system, and obtaining a plurality of health treatment and nursing nodes; constructing a pregnancy preparation health nursing patient education knowledge base, and obtaining a patient education nursing node partition knowledge base; obtaining a target health care risk parameter; and obtaining health care consultation knowledge, and performing refined health care management and control on the target user. The problems that existing pregnancy preparation health care lacks refined and personalized adjustment and risk assessment for individual health conditions, living habits and specific requirements, accurate, objective and comprehensive health care knowledge is difficult to obtain, consequently, tension and anxiety of a patient cannot be effectively relieved, the overall medical experience is poor, and the patient experience is poor are solved. The technical problems are solved, and the technical effects of improving the overall working efficiency, the medical experience and satisfaction of the patient and the treatment effect are achieved.

The invention discloses a high-altitude falling simulation system based on VR equipment, and relates to the technical field of virtual reality simulation, and the system comprises a data collection module which collects the pupil distance and initial sight line data of a user; the visual disturbance module is used for dynamically adjusting local visual disturbance of a corresponding area in the high-altitude virtual scene based on the gaze data to form a visual disturbance effect; the psychological index calculation module is used for calculating an anxiety index and a focus drift speed by adopting a time sequence convolutional neural network according to the visual disturbance effect and the eye movement behavior of the user to obtain an anxiety index and a focus drift speed index; and the disturbance adjustment module adaptively adjusts the frequency and amplitude of the visual disturbance effect by adopting a method of combining fuzzy logic control and adaptive gain adjustment to obtain disturbance rhythm parameters. According to the method, the personalized matching ability and training effectiveness in psychological behavior intervention and virtual high-altitude adaptation training are improved.

The invention discloses an intelligent interaction method for a patient in a radiotherapy process, computing equipment and a storage medium, and the method comprises the steps: carrying out the natural language interaction between the patient and an interaction agent in the radiotherapy process; collecting multi-modal and multi-dimensional patient real-time feedback data and carrying out preprocessing; performing real-time fine tuning optimization on a plurality of pre-training basic models in the interactive agent according to the collected real-time feedback data; the finely-adjusted and optimized interaction agent generates targeted education content, health suggestions and emotion support according to the real-time feedback data of the patient, and outputs the education content, the health suggestions and the emotion support in a natural language mode; and repeating the steps until the radiotherapy is finished. In the radiotherapy process, the interaction agent capable of interacting with the patient is introduced, real-time dynamic personalized health education, treatment suggestions and emotion support services are provided for the patient, and emotion problems such as anxiety of the patient are relieved.

The invention belongs to the technical field of biological medicines, and particularly relates to application of an expression inhibitor of an NR4A1 gene in preparation of a medicine for treating wine-dependent withdrawal. It is found that after wine-dependent withdrawal, mice have anxiety behaviors, the NR4A1 level of the prefrontal lobe is increased, and apoptosis-related protein in the prefrontal lobe is increased. Knockout of the forehead NR4A1 gene intervenes the expression level of the NR4A1 gene in the forehead lobe of the mouse, it can be proved that down-regulation of the expression of the forehead lobe NR4A1 gene can rescue apoptosis and damage, caused by alcohol, of cortical neurons of the forehead lobe, relieve anxiety behaviors caused by alcohol withdrawal of the mouse, and have the effect of protecting the brain of the mouse; the inhibitor DIM-C-pPhOH of the NR4A1 protein can reduce the expression of the NR4A1 gene of the prefrontal lobe of an alcohol withdrawal mouse and anxiety-like behaviors caused by alcohol withdrawal, and provides related therapeutic targets and new therapeutic drugs for anxiety dysfunction caused by clinical alcohol dependence and alcohol dependence withdrawal.

The invention discloses a sleep aiding method and system based on brain wave data, and the method comprises the steps: synchronously collecting brain waves, electrocardiosignals, environmental noise and user voice data through a flexible electrode array, constructing a multi-mode causal graph, and dynamically recognizing the type of a noise source (electromagnetic interference or psychological noise); the method comprises the following steps of: generating a target antagonistic intervention signal (such as reverse sound wave counteracting electromagnetic noise and binaural rhythm relieving psychological pressure) according to the target antagonistic intervention signal, generating dynamically adaptive light pulse and tactile vibration parameters in combination with a psychological-physiological collaborative model, and synchronously outputting sound, light and tactile intervention signals through a multi-modal actuator. Through causal reasoning and multi-sensory cooperative regulation and control technologies, accurate inhibition of noise interference and personalized induction of the sleep state are realized, the sleep time is remarkably shortened, the deep sleep duration is prolonged, and the method is particularly suitable for complex noise environments and anxiety-related insomnia scenes.

The invention discloses a method and a system for intelligently pushing a live program by a set top box, and relates to the technical field of intelligent pushing. The method comprises the following steps: registering a remote controller input event capturer on an operating system layer to collect and classify user operation events, extracting behavior characteristic data and carrying out standardized preprocessing; a behavior state data set and a situation data set are formed, a remote control behavior anxiety index anx is constructed through the behavior state data set, behavior state evaluation is carried out, the regularity of user operation is evaluated, the influence of the current environment of a user on an operation behavior is analyzed in combination with a situation adaptation matching index cfs, and then an intervention activation comprehensive index sis is calculated. The method is used for judging whether pushing of the pacifying type live program is triggered or not. According to historical statistics, a double intervention threshold is set, a dynamic response type push decision is carried out on the emotional state of the user, identification of potential anxiety behaviors and content intervention control are effectively achieved, and user experience and content adaptability are improved.

The invention discloses an interactive seven-stringed plucked instrument music body and mind healing system, relates to the technical field of intelligent health management, and constructs an immersive body and mind conditioning environment by integrating multi-sensory stimulation of sound, light and smell and a seven-stringed plucked instrument music healing function. The system comprises a simulated seven-stringed plucked instrument sound box, an intelligent seven-stringed plucked instrument base, a millimeter wave radar, an infrared camera, a directional microphone, an intelligent aromatherapy machine and an intelligent light module, physiological and psychological data of a user are collected in real time, and a physical and psychological state report is generated through AI model analysis. And dynamically matching guqin music tracks (such as'ghost blue 'for relieving anxiety), fragrance types (such as sandalwood for soothing nerves) and intelligent light scenes (simulating morning dawn / moonlight). A non-contact sensing technology is innovatively adopted, and a seven-stringed plucked instrument tone color characteristic and a natural light environment algorithm are combined, so that cooperative adjustment of music frequency, light color temperature and fragrance concentration is realized, the problems of single sense organ and insufficient dynamic adaptation of a traditional healing system are solved, and a personalized and non-intrusive body and mind conditioning scheme is provided for sub-health people.

The present invention discloses compounds, compositions, methods for modulating central nervous system activity, methods for treating inflammatory or metabolic disorders, and methods for treating central nervous system disorders, such as depression, anxiety, and trauma- and stressor-related disorders, comprising the indolizines having the structures disclosed herein.

The invention provides a driver abnormal emotion regulation and control system and method, and relates to the technical field of vehicle safety, the system comprises a collection module, an emotion recognition module and a feedback training module, the collection module is used for collecting brain wave signals of a driver, and the emotion recognition module is used for recognizing the emotion state of the driver according to the brain wave signals; and the feedback training module is used for generating a stimulation signal synchronized with the target brain wave of the driver when the emotional state of the driver is abnormal so as to guide the brain wave of the driver to be synchronized with the stimulation signal, thereby adjusting the emotional state of the driver. The method can help the driver to adjust the emotion in time, relieve anger, anxiety, fatigue and other abnormal emotions in the driving process, and ensure the driving safety.

The invention relates to the technical field of biological medicines, in particular to Hangzhou white chrysanthemum-derived exosome-like nano-vesicles as well as a preparation method and application thereof. Chrysanthemum morifolium ramat nano-vesicles are prepared from compositae plants through a high-speed centrifugation method, the average particle size of the nano-vesicles is 68 nm, and the Zeta potential is-19.50 + / -1.10 mV. The nano vesicles can effectively protect nerve cells and improve anxiety behaviors and cognitive impairment of SAE mice. The compound has a good application prospect in preparation of medicines for treating neuroinflammation and SAE.

An embracing robot for adjuvant therapy of depression belongs to the crossing field of medical health and man-machine interaction and comprises a sensor module, a driving module, a control module, a feedback module, a touch module and a software module. Through the sponge-cotton-sponge interlayer design, the comfortable touch feeling is provided, the warmth and softness of human hugging are simulated, and the emotional satisfaction of a user is enhanced. By combining a sensor and an algorithm, the robot can monitor the embracing strength and duration of the user in real time, the embracing strength and mode are intelligently adjusted, and personalized emotion support is provided. The embracing experience every time is not monotonous due to the randomly changing embracing postures and diversified action modes, the sense of reality and the sense of naturalness are increased, and the mechanical experience is avoided. Through pacifying actions, anxiety and pressure of a user are effectively relieved, treatment of depression is assisted, and emotional comfort is provided.

The invention provides a traditional Chinese medicine preparation for treating or improving depression, and relates to the technical field of traditional Chinese medicine pharmacy. The traditional Chinese medicine preparation is prepared from the following ten medicinal materials: semen aesculi, fructus citri, fructus toosendan, semen celosiae, herba commelinae, herba senecionis scandentis, fructus liquidambaris, semen pruni, common fenugreek seed and liquorice root, and all the medicinal materials are combined to achieve the effects of soothing liver and regulating qi, clearing liver and purging fire, regulating liver and spleen simultaneously, dredging meridians and collaterals and warming kidney yang, so that liver depression can be relieved, qi activity can be smooth, liver fire can be cleared and depression syndrome can be removed. The traditional Chinese medicine preparation disclosed by the invention has a remarkable improvement effect on depression-like behaviors of mice with depression and has a remarkable inhibition effect on neuroinflammation. Meanwhile, the traditional Chinese medicine preparation is combined with western medicines to treat depression, the effect is remarkable, the HAMD-17, HAMA and TESS scores of treated depression patients can be remarkably reduced, depression and anxiety moods of the patients are remarkably improved, adverse reactions are relieved, and the traditional Chinese medicine preparation provides a new thought for treating depression through traditional Chinese medicine.

The invention discloses an intelligent bed reservation method from outpatient service to hospitalization, and the method comprises the following steps: S1, visiting a doctor in an outpatient service: a patient visits the doctor in an outpatient department through a reservation or registration system, and a doctor carries out the diagnosis of the patient after the inquiry. The intelligent bed appointment management platform is combined with the HIS system and the bed management system, bed resources of a hospital can be automatically matched, inquired and managed, real-time and intelligent bed allocation is achieved, low efficiency and errors of manual management are avoided, meanwhile, AI prediction is combined, and the management efficiency is improved. According to the method, the bed use condition can be monitored and dynamically predicted in real time, bed cleaning and hospital discharge time can be arranged in advance, the maximum bed use rate is ensured, the resource waste phenomenon caused by improper bed management is reduced, a patient can easily inquire the bed state and the predicted hospital admission time through an App or a self-service terminal and know the bed distribution progress at any time, and the patient experience is improved. And anxiety is reduced.

The invention discloses a depression-anxiety complication-oriented disease mapping brain region positioning method and device, and relates to the technical field of medical signal processing, and the method comprises the steps: reading magnetic resonance data and identity information data of a target individual, and determining the gray matter volume corresponding to the brain of the target individual based on the magnetic resonance data and the identity information data; partitioning the brain to obtain a plurality of brain regions, and determining a brain region depression vector and a brain region anxiety vector corresponding to the brain according to the grey matter volume and the identity information data; classifying the plurality of brain regions based on the brain region depression vector and the brain region anxiety vector to determine a depression significant brain region and an anxiety significant brain region included in the plurality of brain regions; generating significant brain region tags corresponding to the multiple brain regions according to the depression significant brain region and the anxiety significant brain region, and generating network topology tags corresponding to the multiple brain regions according to the identity information data and the magnetic resonance data; and determining the disease type of the target individual based on the significant brain region tag and the network topology tag.

The invention discloses a ward health education robot, and the robot is internally provided with a health education platform, and the health education platform comprises a personalized education module which is responsible for generating a personalized guidance scheme according to the personal information of a patient; the intelligent question and answer module is responsible for intelligently recommending related health knowledge and matters needing attention; the medicine use and treatment nursing management module is responsible for recording the medicine use condition of the patient and generating a schedule about the patient; the intelligent navigation and hospital guide module is responsible for realizing autonomous navigation of the patient from a ward to a designated place; the physical sign monitoring and analyzing module is responsible for collecting vital sign data of a patient and generating a health report and early warning information; according to the system, the emotion recognition and interaction optimization module recognizes the emotional state of the patient and adjusts the communication mode and content according to the emotional state, the anxiety and fear emotion of the patient can be relieved, and the confidence of the patient in fighting the disease is enhanced.

The present invention provides a method of treating Parkinson's disease by light stimulation in which light of a specific wavelength such as violet light is irradiated at a specific blinking frequency. The present invention, by irradiating light of a specific wavelength such as violet light to a living body, carries out treatment and / or prophylaxis of Parkinson's disease by improving or suppressing at least one symptom selected from a group of symptoms consisting of cognitive memory disorder, working memory disorder, dysphoria, anxiety, apathy, psychological symptoms (hallucination, visual hallucination, and auditory hallucination), impulse control disorder, orthostatic hypotension, urinary disorder, sexual dysfunction, digestive symptoms (drooling, swallowing, nausea, constipation), sleep disorder, pain, weight loss, olfactory abnormality, fatigue, and diaphoresis.

The invention relates to the technical field of data processing and intelligent environment control, in particular to a sleep environment feedback control data processing method based on cognitive behavior therapy logic, which comprises the following steps: a reference model construction step: acquiring a non-contact multi-mode time sequence signal, and reconstructing a reference signal balance curve to construct a target signal manifold model; a simulation flow generation step of converting the preset interference characteristics into signal modulation operators and injecting the signal modulation operators into the model to generate a simulation signal flow; a double-track difference calculation step: executing double-track difference operation to respectively extract residual features representing system deviation and theoretical interference; a similarity judgment and control step: calculating the topological similarity of the residual features in a time-frequency domain, judging a deviation dominant type, generating a corresponding control instruction, and driving an execution mechanism to act; according to the method, psychological anxiety and environmental discomfort are effectively distinguished by using a double-track differential mechanism, and accurate attribution analysis of sleep interference sources is realized.

The invention discloses a medicine for treating autism, application of the medicine for treating autism in preparation of a medicine for improving social competence damage of autism animals or people, and application of the medicine for treating autism in preparation of a medicine for improving anxiety behaviors of autism animals or people. When the high-dose vitamin D is used for intervening autism mice, the method has the advantages of being economical, convenient to take and good in effect, animal experiment evidence is provided for supplementing large-dose VD to intervene autism spectrum disorders in the early stage of clinical experiments, and a new thought is provided for early prevention and treatment of neurodevelopment disorders of clinical children.

The invention provides a pet behavior data acquisition and emotion monitoring method and an integrated system. The method comprises the following steps: firstly, collecting heart rate, body temperature, environment temperature and humidity and videos, unifying a time base by matching short-distance wireless timestamp broadcasting with local time service, performing face mask, foreground separation and skeleton key point extraction on the videos by an end side, and only uploading structural features including key point coordinates and foreground area ratios; time lag is obtained through normalized cross-correlation of the skeleton key point speed sequence and the heart rate sequence, phase alignment is completed, and a first feature sequence is obtained; frequency domain analysis is conducted on the tail trajectory, the auricle pitch angle and the first feature are connected in series to form a second feature sequence, the second feature sequence is input into a cross-modal attention sequential network, and continuous coordinates and discrete categories such as relaxation, excitation and anxiety are output in a combined mode; a deviation degree is calculated based on an individualized rhythm baseline, and a graded alarm is output when the threshold is exceeded and the standard is continuously reached, so that pet emotion monitoring which is privacy-friendly, reliable in alignment and explainable is realized.

The embodiment of the invention relates to the technical field of information, in particular to a speech recognition optimization method and system applied to online AI legal consultation. The method comprises the following steps: constructing a legal case library; voice content is recognized in real time, case plots are extracted, and the anxiety degree of a consultant is recognized; obtaining a plurality of prediction similar cases according to the extracted case plots and the identified anxiety degree; reading related legal terms, related subject descriptions and plot descriptions corresponding to all the prediction similar cases, and extracting keywords to obtain a keyword set; according to the plot influence singularity and the judgment trend uncertainty corresponding to all the prediction similar cases, obtaining a fusion singularity; and when the fusion degree exceeds a preset threshold value, matching the recognized words without definite semantics with the keywords in the keyword set again, and taking the keyword with the highest matching degree as a voice recognition result.

The invention relates to the technical field of psychological intervention adjustment, in particular to a dynamic structured self-adaptive training method which is applied to a training framework comprising an acquisition terminal, a processing terminal and an execution terminal. The acquisition terminal is used for acquiring a physiological signal, a behavior signal and an environment context of an individual, the processing terminal fuses the information and calculates an anxiety index and an uncertainty probability value, and when the uncertainty probability value is lower than a preset threshold value, an initial task graph is constructed according to a target task and the environment context. The initial task graph is subjected to structure and parameter updating through a preset rule generator in combination with a reward function and an anxiety index, an individualized task graph is generated, cross-age migration is further carried out based on physiological and behavior signals, an execution graph bound with an execution terminal is obtained, and the execution terminal carries out intervention according to the execution graph. The problem that an existing training method is difficult to give consideration to behavior complexity and psychological bearing capacity is solved, and training individuation and stability are improved.

The combined concave swing seat frame mechanism comprises a base, a seat and a first electric push rod, the seat comprises a sitting and leaning frame and a backrest frame, a sliding frame is arranged on the base, and the left side and the right side of the sliding frame are each provided with at least two first hinge shafts; a swing arm capable of swinging relative to the sliding frame is arranged on each first hinge shaft, the bottom of each swing arm is hinged to the sitting and leaning frame, the sitting and leaning frame is hung on the sliding frame through the swing arms, a swing arm driving assembly is further arranged on the sliding frame, the first electric push rod is hinged to the base, and the output end of the first electric push rod acts on the sliding frame. On the basis of the existing back-and-forth sliding and back rising and falling functions, the electric swing function technology is upgraded and added, the product configuration function is improved, more consumption requirements are met, the foot bath tub is suitable for more types of foot bath tubs and use places, swing in the mode is more stable, the action gives people a hypnotic feeling, people are promoted to have a rest and relax, and the user experience is improved. And anxiety and nervousness can be relieved.

2-(2,5-dioxopyrrolidin-1-yl)propanamide and 2-(2-oxopyrrolidin-1-yl)propanamide derivatives with R-configuration at the stereogenic center are disclosed, showing broad-spectrum protective activity in animal models of epileptic seizures, pain, depression and anxiety that are simultaneously devoid of undesirable sedative effects. Additionally, the disclosed derivatives have neuroprotective effects in the in vitro and in vivo studies.